Evelyn Hu
Biomaterials Plenary Session (BP)
The Biomaterials Interfaces program kicks off with the now traditional Biomaterials Plenary Session. This year we are pleased to have presentations from two prominent scientists who will present their cutting-edge research on Materials and Biology for Energy Applications.
BP-SuA: Biomaterials Plenary Session: Programmable Biologic Materials (ALL-INVITED SESSION)
- Adrianne M. Rosales, The University of Texas at Austin, “Enhancing the Programmability of Engineered Extracellular Matrices with Sequence-Specific Peptoids”
- Matthew Tirrell, University of Chicago, “New Biomaterials and Bio-inspired Materials from Polyelectrolyte Complexation”
Nanoscale Science and Technology Division Plenary Session
The Nanoscale Science and Technology Division starts the week with a plenary session featuring a talk from the Nanotechnology Recognition Award winner. Following this talk, we will have our Early Career and Graduate Student competitions. Please join us for these engaging talks on nanoscale science and technology and for lively discussion during a reception, immediately after the competitions.
NSP-SuA: Nanoscale Science and Technology Plenary Session (ALL-INVITED SESSION)
- James Liddle, National Institute of Standards and Technology (NIST), “Adventures in Nanofabrication and Manufacturing, from Electron-Beam Lithography to DNA: Science, Technology, and Lessons Learned”
Exhibitor Technology Spotlight (EW)
The Exhibitor Technology Spotlight Sessions will take place in the stage area of the exhibit hall during the technical session breaks on Tuesday and Wednesday. These sessions are free and open to all registered AVS 68 attendees. This is your opportunity to learn about new products, research techniques, and services offered by AVS exhibitors. Each session is followed by a brief Q&A session making it a truly interactive learning experience. After the sessions, you may visit the presenting exhibitors at their booths to further discuss any points that you would like to receive more details on. Come learn how new technology can benefit your research efforts!
EW-TuL: Exhibitor Technology Spotlight Session
AVS Member Center
The AVS Member Center will focus on career-related professional development sessions and provide networking opportunities to all attendees throughout the week. It will be a place where attendees can stop in at any time to participate in our scheduled events, ask questions about how to access your membership benefits or have a place to meet with other attendees. Be sure to stop by. Agenda coming soon.
AVS Quantum Science Workshop on ``Quantum Computing for Accelerating Chemistry Discovery``
Friday, November 11, 2022, in conjunction with AVS 68.
The power of chemistry lies in the ability to synthesize matter that can address critical needs. This power is challenged by the complexity of molecule formation and interaction and the need for fundamental understanding of both to enable chemical engineering. Accelerating chemical engineering can lead, for instance, to a faster identification of promising drug candidates.
Addressing this challenge is the aim of computational chemistry, which uses computer modeling to predict how molecules behave by simulating them to understand their properties and how they interact within a large system of molecules. This new approach of chemical engineering requires large computational power for data management, statistical and machine learning, or visualization. Understanding molecular interactions requires in addition powerful molecular dynamic engines that require outstanding computational speeds.
Though the application of quantum mechanics, quantum computers have the capacity to drastically accelerate and optimize chemical engineering, though quantum machine learning or thanks to quantum-accelerated methods. This raises today very high interest, both in academia and industry. This workshop will gather many key experts in this field and will provide a large overview of the recent progress in quantum computer assisted chemistry.
Invited Speakers:
• Marco Barbieri (Uni Rome), “Tests of quantum hardware: taking hints from machine learning”
• James Freericks (Georgetown), “Strategies for computing electronic structure of molecules on quantum computers”